# PHORA: A Clinical Decision Support Tool for Patients with Pulmonary Arterial Hypertension

> **NIH NIH R01** · OHIO STATE UNIVERSITY · 2020 · $656,378

## Abstract

ABSTRACT
This application seeks to develop a multi-platform clinical decision support system (CDSS) in pulmonary
arterial hypertension (PAH) for physicians, PHORA (Pulmonary Hypertension Outcomes Risk
Assessment), which can be used to: (a) guide therapeutic decisions and (b) optimize clinical trial design. We
will achieve this goal by utilizing clinical trial data from several large databases of completed trials in PAH, an
ongoing PAH registry (REVEAL), as well as observational sessions with physicians. The proposed aims co-
create the CDSS with a multi-disciplinary group of specialties including: biomedical engineering, advanced
PAH physicians, computer science (machine learning/data mining), human computer interaction, and allied
health care experts. Our intention is to engage all stakeholders to achieve consensus and thereby assure the
acceptance of PHORA into practice. Successful completion of this project will lay the foundation for a
prospective, multi-center trial in which PHORA will be evaluated with respect to long-term patient outcomes.
The ultimate aim is to disseminate this resource so as to improve the efficiency, efficacy, and cost-
effectiveness of this treatment for PAH.

## Key facts

- **NIH application ID:** 10187768
- **Project number:** 7R01HL134673-05
- **Recipient organization:** OHIO STATE UNIVERSITY
- **Principal Investigator:** RAYMOND Louis Benza
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $656,378
- **Award type:** 7
- **Project period:** 2017-04-01 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10187768

## Citation

> US National Institutes of Health, RePORTER application 10187768, PHORA: A Clinical Decision Support Tool for Patients with Pulmonary Arterial Hypertension (7R01HL134673-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10187768. Licensed CC0.

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